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- W2018654320 abstract "Inspired by self-organization in natural organisms, an approach that would enable robotic agents form a visual representation of an invisible distributed hazardous substance is presented. Such a resource would enable humans observe and stay away from areas of high hazardous substance concentration. In this work, a proportional-integral control law and a machine learning scheme is used to obtain optimal parameter values that would enable optimal visual mapping whilst keeping computational resources low." @default.
- W2018654320 created "2016-06-24" @default.
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- W2018654320 date "2011-12-01" @default.
- W2018654320 modified "2023-09-25" @default.
- W2018654320 title "Towards distributed coverage of complex spatiotemporal profiles" @default.
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- W2018654320 doi "https://doi.org/10.1109/robio.2011.6181600" @default.
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